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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-06-28 20:36:47</p>

            <h2>Case details</h2>
            <p>Test case: info.debatty.jinu.Case</p>
            <p>Version: 4035460645206145470</p>
            <p>Iterations: 10</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.Synthetic.ClaransTest@6b3e12b5</li>
                                    <li>spark.kmedoids.eval.Synthetic.HeuristicTest@59f63e24</li>
                                    <li>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest@61f05988</li>
                            </ul>

            <p>Classpath:</p>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100115-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 12743</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1345.8198896234271</td>
                                                <td>30288</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1387.052259081171</td>
                                                <td>30249</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1382.3087640181502</td>
                                                <td>30374</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1371.768667219144</td>
                                                <td>30328</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1397.6924818425875</td>
                                                <td>30322</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1413.34580699241</td>
                                                <td>30211</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1335.7760204636306</td>
                                                <td>30437</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1354.3666771791113</td>
                                                <td>30159</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1364.3459730620302</td>
                                                <td>30129</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1393.7636031138009</td>
                                                <td>30266</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>1229.5237883375426</td>
                                                <td>12200</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>1248.5573042330702</td>
                                                <td>10366</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>1274.1218476380598</td>
                                                <td>10266</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>1318.3269375897644</td>
                                                <td>10290</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>1289.6263691163408</td>
                                                <td>10127</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>1257.647471033752</td>
                                                <td>10339</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>1237.828511414172</td>
                                                <td>10343</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>1261.6895028230115</td>
                                                <td>10313</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>1308.4975317680955</td>
                                                <td>10325</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>1280.7233736255603</td>
                                                <td>10262</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>1291.2582773011231</td>
                                                <td>20445</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>1304.195758279789</td>
                                                <td>20384</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>1278.255937953999</td>
                                                <td>20252</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>1373.3548264617039</td>
                                                <td>20359</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>1400.911192441531</td>
                                                <td>20296</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>1359.7840382992986</td>
                                                <td>20128</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>1266.7496121165073</td>
                                                <td>20152</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>1350.7195092559643</td>
                                                <td>20237</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>1345.6729870643144</td>
                                                <td>20182</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>1319.1569098561663</td>
                                                <td>20296</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>1199.6115295056084</td>
                                                <td>10707</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>1157.6855004459876</td>
                                                <td>10245</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>1291.6341022523827</td>
                                                <td>10100</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>1276.7164396309786</td>
                                                <td>10296</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>1217.2376755768337</td>
                                                <td>10329</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>1213.7171324451385</td>
                                                <td>10134</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>1308.7015503798302</td>
                                                <td>10339</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>1258.9969817763495</td>
                                                <td>10167</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>1192.6999936553605</td>
                                                <td>10229</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>1297.3430344510543</td>
                                                <td>10306</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>1340.62422687417</td>
                                                <td>20240</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>1342.7449518063195</td>
                                                <td>20107</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>1315.4866807994185</td>
                                                <td>20168</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>1323.8242167252713</td>
                                                <td>20420</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>1358.7456456561451</td>
                                                <td>20264</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>1352.8644677045231</td>
                                                <td>20225</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>1342.383089619395</td>
                                                <td>20217</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>1296.8646169604774</td>
                                                <td>20181</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>1293.8422156033016</td>
                                                <td>20209</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>1353.4070168295975</td>
                                                <td>20271</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1399.5732284270216</td>
                                                <td>30377</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1425.7057080744155</td>
                                                <td>30134</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1380.0145915379055</td>
                                                <td>30130</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1395.1671759715423</td>
                                                <td>30276</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1349.1515185248047</td>
                                                <td>30211</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1301.1724252020224</td>
                                                <td>30154</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1340.812938158611</td>
                                                <td>30180</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1327.9776187007121</td>
                                                <td>30234</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1413.228632695966</td>
                                                <td>30302</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1369.48830893615</td>
                                                <td>30187</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1359.7146388916424</td>
                                                <td>30223</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1374.979531271174</td>
                                                <td>30235</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1379.4597663870231</td>
                                                <td>30108</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1384.8744214880137</td>
                                                <td>30168</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1378.910982497179</td>
                                                <td>30188</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1403.429369421196</td>
                                                <td>30374</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1277.4926134671832</td>
                                                <td>30239</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1383.2734011802804</td>
                                                <td>30136</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1431.647082787887</td>
                                                <td>30119</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1374.7970819385828</td>
                                                <td>30111</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>1270.5248574269588</td>
                                                <td>10226</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>1293.66133179823</td>
                                                <td>10181</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>1230.9395828467104</td>
                                                <td>10094</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>1331.7791050238297</td>
                                                <td>10370</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>1232.1570247503064</td>
                                                <td>10285</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>1178.7158459904517</td>
                                                <td>10264</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>1105.6834588379397</td>
                                                <td>10276</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>1251.6152480016513</td>
                                                <td>10134</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>1239.9867407200559</td>
                                                <td>10213</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>1194.6730524274967</td>
                                                <td>10310</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>1319.451874043067</td>
                                                <td>20456</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>1361.83765056848</td>
                                                <td>20269</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>1339.0099189719115</td>
                                                <td>20180</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>1314.9565159517492</td>
                                                <td>20247</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>1324.5913683206586</td>
                                                <td>20377</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>1315.2339995859238</td>
                                                <td>20243</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>1378.1225274923659</td>
                                                <td>20318</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>1341.4657476005052</td>
                                                <td>20292</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>1320.7256814727768</td>
                                                <td>20348</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>1391.5871658298297</td>
                                                <td>20142</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>1374.6240142595466</td>
                                                        <td>30276.300000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>24.66298846444276</td>
                                                        <td>94.77464499186208</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>1356.9811751396323</td>
                                                        <td>30208.502303194156</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>1392.2668533794608</td>
                                                        <td>30344.09769680585</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>10.0</td>
                            <td>mean</td>
                                                            <td>1270.6542637579369</td>
                                                        <td>10483.099999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>10.0</td>
                            <td>std dev</td>
                                                            <td>29.22178391820914</td>
                                                        <td>606.9864450252941</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>10.0</td>
                            <td>low</td>
                                                            <td>1249.7502588272632</td>
                                                        <td>10048.888054720564</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>10.0</td>
                            <td>high</td>
                                                            <td>1291.5582686886105</td>
                                                        <td>10917.311945279433</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>20.0</td>
                            <td>mean</td>
                                                            <td>1329.0059049030397</td>
                                                        <td>20273.1</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>20.0</td>
                            <td>std dev</td>
                                                            <td>43.99822920913763</td>
                                                        <td>103.3026298471312</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>20.0</td>
                            <td>low</td>
                                                            <td>1297.5314677878023</td>
                                                        <td>20199.20175033392</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>20.0</td>
                            <td>high</td>
                                                            <td>1360.480342018277</td>
                                                        <td>20346.998249666078</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>10.0</td>
                            <td>mean</td>
                                                            <td>1241.4343940119525</td>
                                                        <td>10285.2</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>10.0</td>
                            <td>std dev</td>
                                                            <td>51.87133982802099</td>
                                                        <td>169.70025862613693</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>10.0</td>
                            <td>low</td>
                                                            <td>1204.327872844026</td>
                                                        <td>10163.803748046785</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>10.0</td>
                            <td>high</td>
                                                            <td>1278.540915179879</td>
                                                        <td>10406.596251953217</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>20.0</td>
                            <td>mean</td>
                                                            <td>1332.0787128578618</td>
                                                        <td>20230.199999999997</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>20.0</td>
                            <td>std dev</td>
                                                            <td>23.42016844439872</td>
                                                        <td>82.35802598681181</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>20.0</td>
                            <td>low</td>
                                                            <td>1315.3249336221647</td>
                                                        <td>20171.284617348218</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>20.0</td>
                            <td>high</td>
                                                            <td>1348.8324920935588</td>
                                                        <td>20289.115382651777</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>1370.229214622915</td>
                                                        <td>30218.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>39.95760392408298</td>
                                                        <td>79.7945277990078</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>1341.6452667097813</td>
                                                        <td>30161.41843348031</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>1398.8131625360486</td>
                                                        <td>30275.58156651969</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>1374.857888933016</td>
                                                        <td>30190.100000000002</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>39.38334678096169</td>
                                                        <td>82.17927557075024</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>1346.6847398330171</td>
                                                        <td>30131.312487692798</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>1403.031038033015</td>
                                                        <td>30248.887512307207</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>10.0</td>
                            <td>mean</td>
                                                            <td>1232.9736247823628</td>
                                                        <td>10235.300000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>10.0</td>
                            <td>std dev</td>
                                                            <td>63.131908294049055</td>
                                                        <td>83.28938841306383</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>10.0</td>
                            <td>low</td>
                                                            <td>1187.8117781971075</td>
                                                        <td>10175.718360804642</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>10.0</td>
                            <td>high</td>
                                                            <td>1278.135471367618</td>
                                                        <td>10294.88163919536</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>20.0</td>
                            <td>mean</td>
                                                            <td>1340.698244983727</td>
                                                        <td>20287.199999999997</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>20.0</td>
                            <td>std dev</td>
                                                            <td>27.611150352418218</td>
                                                        <td>92.91668908818846</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>20.0</td>
                            <td>low</td>
                                                            <td>1320.9464178973299</td>
                                                        <td>20220.731404780832</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>20.0</td>
                            <td>high</td>
                                                            <td>1360.450072070124</td>
                                                        <td>20353.668595219162</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 10.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.14267046139438133</td>
                                                                            <td>0.11105534191965565</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.14267046139438133</td>
                                                                            <td>1.0</td>
                                                                            <td>0.7472473262346224</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.11105534191965565</td>
                                                                            <td>0.7472473262346224</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 20.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.8482871924236852</td>
                                                                            <td>0.48741006767994455</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.8482871924236852</td>
                                                                            <td>1.0</td>
                                                                            <td>0.4615358369475562</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.48741006767994455</td>
                                                                            <td>0.4615358369475562</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 30.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.7971369096314916</td>
                                                                            <td>0.771314384173353</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.7971369096314916</td>
                                                                            <td>1.0</td>
                                                                            <td>0.9875097944204281</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.771314384173353</td>
                                                                            <td>0.9875097944204281</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.Synthetic.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.Synthetic.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>
        </div>
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